Author

E. Grotewold

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 4

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:gene regulatory network inference· 3 Assay:DNA methylation· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Organism:zebrafish· 2 Organism:Arabidopsis· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

N. M. Springer· 3 shared P. Zhou· 3 shared Y.-H. Chu· 2 shared A. Krishnan· 1 shared A. Read· 1 shared B. M. Moore· 1 shared C. N. Hirsch· 1 shared E. E. Ellison· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersPlant Biology

N. M. Springer

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4 papers

Recent·Most cited

Prioritizing Maize Metabolic Gene Regulators through Multi-Omic Network Integration

F. A. Gomez-Cano, J. Rodriguez, P. Zhou, Y.-H. Chu, E. L. Ellison, L. Gomez-Cano, A. Krishnan, N. M. Springer, N. de Leon, E. Grotewold

This paper develops a framework to prioritize maize metabolic gene regulators by integrating multi-omic data, identifying over 3,000 TFs and predicting new regulators of hormone, developmental, and metabolic processes.

bioRxiv · Feb 26, 2024 · PreprintPlant Biology

Mutator transposon insertions within maize genes often provide a novel outward reading promoter

E. E. Ellison, P. Zhou, P. J. Hermanson, A. Read, Y.-H. Chu, C. N. Hirsch, E. Grotewold, N. M. Springer

The study identifies Mu transposon insertions in maize genes that create outward-reading promoters, leading to complex transcripts and gene expression patterns similar to wild-type.

bioRxiv · Jun 5, 2023 · PreprintPlant Biology

Applying cis-regulatory codes to predict conserved and variable heat and cold stress response in maize

P. Zhou, T. A. Enders, Z. A. Myers, E. Magnusson, P. A. Crisp, J. Noshay, F. A. G. Cano, Z. Liang, E. Grotewold, K. Greenham, N. M. Springer

The paper uses transcriptome profiling of maize under heat and cold stress to identify cis-regulatory elements and develop models predicting gene expression responses.

bioRxiv · Jan 15, 2021 · PreprintPlant Biology

Modeling gene regulation in response to wounding: temporal variations, hormonal variations, and specialized metabolism pathways induced by wounding

B. M. Moore, Y. S. Lee, E. Grotewold, S.-H. Shiu

The paper models gene regulation in plants after wounding using machine learning, identifying cis-regulatory elements and showing their role in temporal and hormonal responses.

bioRxiv · Jul 15, 2020 · PreprintPlant Biology